A novel method for eye region detection in gray-level image

Author

Liu, Zhiming ; He, Xin ; Zhou, Jiliu ; Xiong, Guoqing

Author_Institution

Coll. of Electron. Inf., Sichuan Univ., Chengdu, China

Volume

2

fYear

2002

fDate

29 June-1 July 2002

Firstpage

1118

Abstract

This paper describes a novel method to detect the rough eye regions with various positions on gray intensity images. Using the eye edge information and gray distribution, an energy function is designed to evaluate whether the current rectangle in image contains the eye region or not. Then a genetic algorithm is used to search the potential eye regions in the whole input image according to the value of energy function. Experimental results show that the proposed approach is fast and reliable.

Keywords

edge detection; face recognition; feature extraction; genetic algorithms; GA; edge detection; energy functions; eye containing rectangles; eye edge information; face detection; facial feature extraction; genetic algorithms; gray distribution; gray intensity image eye positions; gray scale images; gray-level image rough eye region detection; human face recognition; potential eye regions; Biomedical imaging; Educational institutions; Eyes; Face detection; Face recognition; Facial features; Genetic algorithms; Helium; Humans; Image edge detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Circuits and Systems and West Sino Expositions, IEEE 2002 International Conference on

Print_ISBN

0-7803-7547-5

Type

conf

DOI

10.1109/ICCCAS.2002.1178981

Filename

1178981